Staff DevOps Engineer

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Key Responsibilities Design, build, and maintain CI/CD and MLOps pipelines for automated application and AI model deployments. Manage cloud infrastructure and compute resources using IaC tools like Terraform or CloudFormation. Implement end-to-end observability using tools like Prometheus, Grafana, and Datadog to monitor system health. Collaborate with development and AI/ML teams to containerize applications using Docker and Kubernetes. Provision, configure, and manage core AWS services, including EC2, S3, RDS, IAM, VPC, and EKS. Scale and optimize containerized workloads using Amazon EKS, including cluster upgrades and node group tuning. Configure and manage NGINX for ingress routing, reverse proxying, load balancing, and SSL/TLS termination. Build custom dashboards, define SLOs/SLAs, and set up proactive alerting via PagerDuty and Datadog. Support AI teams by providing self-service platform tools and optimizing GPU/TPU compute resources.

Minimum of 3 to 6 years of proven experience in DevOps, Cloud Infrastructure, or a related field. BSc/B.Tech/BE in Computer Science, Engineering, or a related technical discipline is mandatory. Extensive hands-on experience with AWS Cloud Infrastructure and core cloud services. Proficiency in Kubernetes, Docker, and managing containerized workloads at scale. Strong expertise in building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). Deep understanding of observability, telemetry, and monitoring tools (Datadog, Open Telemetry, Grafana). Excellent design, analytical, and troubleshooting skills with a methodical approach to problem-solving. Fluent in English with strong written and verbal communication skills for cross-team collaboration.

Experience in testing methodologies and developing unit, integration, system, and API tests. Strong networking foundations, including TCP/IP, DNS, Network Protocols, and Routing. Knowledge of security principles, risk management, threat modeling, and secure configuration. Hands-on database usage experience and a solid understanding of data engineering concepts. Demonstrated experience working within Agile development methodologies and practices. Active Cloud Solution Architect Certification (e.g., AWS Certified Solutions Architect). Familiarity with the open-source community and a proactive drive for continuous self-learning. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a